Radhika (RGaonkar)

RGaonkar

Geek Repo

Location:Seattle

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Radhika's repositories

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awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

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bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

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bert-toxic-comments-multilabel

Multilabel classification for Toxic comments challenge using Bert

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Credit-Rating-Prediction

Builds models to predict the credit ratings of companies as part of the S&P Data Challenge

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CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

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emotion-label-semantics

This repository provides the code and dataset for the work published in the paper - Modeling Label Semantics for Predicting Emotional Reactions

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fast-bert

Super easy library for BERT based NLP models

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GHC-Scholarships

Comprehensive list of scholarships for the Grace Hopper Conference

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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Multi-Hop-Knowledge-Paths-Human-Needs

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs

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Multi-Label-Text-Classification

Kaggle Toxic Comments Challenge

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Multi-Label-Text-classification-Using-BERT

Multi Label text classification using bert

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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packing-unpacking-pytorch-minimal-tutorial

Minimal tutorial on packing and unpacking sequences in pytorch

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Practical_NLP_in_PyTorch

A repository containing tutorials for practical NLP using PyTorch

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Probabilistic-RNN-DA-Classifier

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

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python-is-cool

Cool Python features for machine learning that I used to be too afraid to use

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PyTorch-Elmo-BiLSTMCRF

PyTorch BiLSTMCRF w Elmo

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pytorch-examples

Simple examples to introduce PyTorch

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pytorch-pretrained-BERT

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

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pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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scs-baselines

Baseline models for the paper: "Modeling Naive Psychology of Characters in Simple Commonsense Stories" by Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight and Yejin Choi

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